AI Agents news and analysis on Web Pulse: 13787 curated articles tracking the latest AI Agents developments, tools, and research, updated continuously from vetted sources.
Agentic AI systems using large language models face a fundamental determinism problem when applied to infrastructure operations, as the stochastic nature of LLMs conflicts with the repeatability required for network chan…
NoiseLang, a programming language where every value is a probability distribution, has been revived after nine years using AI tools. The language compiles to a JIT runtime via Cranelift and a WASM backend, enabling effic…
Anthropic has alienated developers through API instability, vendor lock-in with Claude Code, and controversial 'extra usage' billing that charges subscription users per token before they hit rate limits, even when using …
As AI agents shift from analysis to action in enterprise operations, the challenge of reliably reaching human responders during critical incidents grows. SMS remains a resilient fallback channel because it works independ…
Companies are discovering that AI coding tools, especially agentic workflows, can cost more per month than the salaries of the engineers using them. Uber burned through its entire 2026 AI coding budget in four months, Mi…
Apple senior product manager Doug Brooks said the Mac mini and Mac Studio have seen "incredible demand" for running AI agents, citing the need for isolated, always-on systems. Brooks emphasized Apple's chip strategy, inc…
Alessio Fanelli, founder of Kernel Labs and co-host of Latent Space, demonstrates two AI workflows: an autonomous coding setup using OpenAI Symphony and Linear as an agent state machine, and a Codex-based system that aut…
Small language models (SLMs) are increasingly powering next-generation AI agents, challenging the assumption that larger models are always better. NVIDIA research shows SLMs excel at repetitive, specialized tasks in agen…
A fully autonomous AI agent named JadePuffer conducted an end-to-end cyber intrusion and extortion campaign by exploiting a vulnerable Langflow server, marking the first documented case of agentic ransomware driven entir…
Agent accuracy degrades as tool catalogs grow beyond 10-15 tools, with research showing retrieval-based selection triples accuracy from 13.62% to 43.13% while cutting prompt tokens by over half. Six techniques—gating, re…
A Time magazine article warns that artificial intelligence is advancing faster than governance can keep up, amid a breakdown of international legal order. The piece highlights AI-driven disinformation targeting European …
GitHub Spec Kit, AWS Kiro, and Claude Code workflows implement Spec-Driven Development with different trade-offs in portability, integration depth, and process enforcement. GitHub Spec Kit offers portability across edito…
Security firm Sysdig reports the first known agentic ransomware operation, dubbed JADEPUFFER, where an AI language model autonomously broke into a server, stole credentials, and destroyed databases without human control.…
Nimesh Mehta, EVP and chief information and strategy officer at National Life Group, argues that most executives approach AI too cautiously, hedging bets and over-governing experiments, which leads to managed irrelevance…
Aspire Space Technologies, led by CEO Stan Rudenko, is partnering with AI startup Leap 71 and Chinese manufacturer HBD to build a fully reusable orbital rocket called Oryx, powered by an aerospike engine. The team includ…
Spec-Driven Development (SDD) is a workflow that moves through five phases—requirements, design, tasks, implementation, and validation—each producing reviewable artifacts to reduce ambiguity before code changes. The appr…
Google published the Open Knowledge Format (OKF), a directory of linked markdown files for representing knowledge as a graph, on June 13, 2026. The format, built for internal company data, also solves a problem for publi…
Large Australian banks and enterprises are deploying agentic AI in production, with Gartner predicting 40% of enterprises will embed AI agents by 2026. Governance teams relying on traditional playbooks are unprepared, as…
A technologist's op-ed in The Guardian on AI liability contains logical flaws, including a contradictory example where the customer is held liable for an AI agent's actions, undermining its own argument. The piece also f…
Companies are losing money and knowledge as engineers individually optimize their own AI agent setups without centralized oversight, creating invisible token spend and siloed expertise. The author argues that centralizin…